Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Ergun Ahunbay"'
Autor:
Ying Zhang, PhD, Eric Paulson, PhD, Sara Lim, PhD, William A. Hall, MD, Ergun Ahunbay, PhD, Nikolai J. Mickevicius, PhD, Michael W. Straza, MD, Beth Erickson, MD, X. Allen Li, PhD
Publikováno v:
Advances in Radiation Oncology, Vol 5, Iss , Pp 17-25 (2020)
Purpose: Magnetic resonance-guided online adaptive radiation therapy (MRgOART) requires accurate and efficient segmentation. However, the performance of current autosegmentation tools is generally poor for magnetic resonance imaging (MRI) owing to da
Externí odkaz:
https://doaj.org/article/edc7942685e840d595e1b18e7435a0af
Autor:
Eric S. Paulson, Ergun Ahunbay, Xinfeng Chen, Nikolai J. Mickevicius, Guang-Pei Chen, Christopher Schultz, Beth Erickson, Michael Straza, William A. Hall, X. Allen Li
Publikováno v:
Clinical and Translational Radiation Oncology, Vol 23, Iss , Pp 72-79 (2020)
Background and purpose: In this report, we describe our implementation and initial clinical experience using 4D-MRI driven MR-guided online adaptive radiotherapy (MRgOART) for abdominal stereotactic body radiotherapy (SBRT) on the Elekta Unity MR-Lin
Externí odkaz:
https://doaj.org/article/97cf91662f7c4e41a2a0d44caf40ba11
Autor:
William A Hall, Michael W Straza, Xinfeng Chen, Nikolai Mickevicius, Beth Erickson, Chris Schultz, Musaddiq Awan, Ergun Ahunbay, X Allen Li, Eric S Paulson
Publikováno v:
PLoS ONE, Vol 15, Iss 8, p e0236570 (2020)
Purpose/objectivesRecently a 1.5 Tesla MR Linac has been FDA approved and is commercially available. Clinical series describing treatment methods and outcomes for upper abdominal tumors using a 1.5 Tesla MR Linac are lacking. We present the first cli
Externí odkaz:
https://doaj.org/article/01f3e1b7803f44a18f2491635c070cd9
Autor:
Juan Garcia Alvarez, Hualiang Zhong, Colleen A. Lawton, Kristofer Kainz, Ergun Ahunbay, S.N. Lim, An Tai, Beth Erickson, X. Allen Li
Publikováno v:
Medical Physics. 49:611-623
PURPOSE We present a DVH overlay technique as a quality assurance (QA) metric for deformable image registration-based dose accumulation (DIR-DA). We use the technique to estimate the uncertainty in a DIR-DA for a revised treatment plan, and to compar
Autor:
Hualiang Zhong, Juan A. Garcia‐Alvarez, Kristofer Kainz, An Tai, Ergun Ahunbay, Beth Erickson, Christopher J. Schultz, X. Allen Li
Publikováno v:
Medical physics.
Deformable dose accumulation (DDA) has uncertainties which impede the implementation of DDA-based adaptive radiotherapy (ART) in clinic. The purpose of this study is to develop a multi-layer quality assurance (MLQA) program to evaluate uncertainties
Autor:
Hualiang Zhong, Garcia-Alvarez, Juan A., Kainz, Kristofer, An Tai, Ergun Ahunbay, Erickson, Beth, Schultz, Christopher J., Li, X. Allen
Publikováno v:
Medical Physics; Mar2023, Vol. 50 Issue 3, p1766-1778, 13p
Autor:
Nikolai J. Mickevicius, Christopher J. Schultz, Xinfeng Chen, Beth Erickson, X. Allen Li, Eric S. Paulson, G. P. Chen, Ergun Ahunbay, M.W. Straza, William A. Hall
Publikováno v:
Clinical and Translational Radiation Oncology
Clinical and Translational Radiation Oncology, Vol 23, Iss, Pp 72-79 (2020)
Clinical and Translational Radiation Oncology, Vol 23, Iss, Pp 72-79 (2020)
Highlights • This is the first clinical use of 4D-MRI in an online radiation therapy workflow. • Eleven patients received SBRT on an Elekta MR-Linac using ATP and ATS workflows. • A parallel contour editing approach was successfully utilized in
Autor:
S.N. Lim, Eric S. Paulson, M.W. Straza, Nikolai J. Mickevicius, Y. Zhang, William A. Hall, X. Allen Li, Ergun Ahunbay, Beth Erickson
Publikováno v:
Advances in Radiation Oncology
Purpose Magnetic resonance-guided online adaptive radiation therapy (MRgOART) requires accurate and efficient segmentation. However, the performance of current autosegmentation tools is generally poor for magnetic resonance imaging (MRI) owing to day
Publikováno v:
Practical Radiation Oncology. 10:e95-e102
Purpose Although vital to account for interfractional variations during radiation therapy, online adaptive replanning (OLAR) is time-consuming and labor-intensive compared with the repositioning method. Repositioning is enough for minimal interfracti
Publikováno v:
Physics in medicine and biology. 67(14)
Objective. Auto-delineation of air regions on daily MRI for MR-guided online adaptive radiotherapy (MRgOART) of abdominal tumors is challenging since the air packets occur randomly and their MR intensities can be similar to some other tissue types. T